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Record W176235279

An analysis of the Corporate Manslaughter and Corporate Homicide Act (2007): A Badly Flawed Reform?

2012· dissertation· en· W176235279 on OpenAlexfundaboutno aff
Benjamin Haigh

Bibliographic record

VenueDurham e-Theses (Durham University) · 2012
Typedissertation
Languageen
FieldEnvironmental Science
TopicWildlife Conservation and Criminology Analyses
Canadian institutionsnot available
FundersUniversity of Cape TownUniversity of TorontoNewcastle University
KeywordsDoctrineCorporate liabilityConvictionCorporate lawCorporationPolitical scienceLawParliamentLegislationHomicideLaw and economicsCorporate governanceLiabilitySociologyPoliticsEconomicsManagementPoison control
DOInot available

Abstract

fetched live from OpenAlex

A conviction of a large corporation for manslaughter was in practice impossible. This statement was accurate when the prosecution utilised the identification/ “directing mind and will” doctrine. The position in relation to prosecutions against small companies was somewhat different. It was relatively straight-forward to successfully prosecute a “one-man band” style company due to its simple corporate structure. The Corporate Manslaughter and Corporate Homicide Act (2007) was enacted to resolve this issue. This thesis will endeavour to consider the lengthy process of law reform that ultimately resulted in the enactment of the legislation. 
\nIt was the desire of Parliament that this Act would eliminate the difficulties that were faced by the courts when dealing with large complex corporate structures. This thesis will consider whether Parliament’s desire has been achieved or whether the same problems associated with the old doctrine still exist. 
\nThis thesis will argue that the Corporate Manslaughter and Corporate Homicide Act (2007) has simply provided a gloss upon the identification doctrine and that we now have an “identification-plus” doctrine in the form of the “senior management test”. It is therefore questionable whether the new test would be any more effective when tested against a large corporate structure, than the old doctrine.
\nIn addition, this thesis will consider the Canadian model and whether any lessons can be learned from their approach to corporate criminal liability. 
\n

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.033
GPT teacher head0.228
Teacher spread0.195 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2012
Admission routes2
Has abstractyes

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